Data Scientist: Advanced Analytics

Job description

Your Role and Responsibilities

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analysing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. You will have a unique opportunity to work with large data sets generated by FMCG and Retail businesses. You will work with Retail and Ops stakeholder's across our clients, procurement, selection, pricing and supply chain management to design and take to production robust scalable predictive models and analytical solutions utilizing cutting edge machine learning, neural networks, data mining and optimization techniques.

Work experience:

- More than 8 years of analytical experience on various positions

Expected skills:

- experience in Pricing analytics, Demand forecasting
- experience in doing extensive pricing study for different markets in CPG and Retail industries
- experience in business analysis and business solution design
- strong analytical skills with ability to use them for business cases
- experience in data preparation and designing of analytical repositories
- experience in building and testing machine learning models
- Demonstrable experience of taking Data Science/Machine Learning solutions to production in a commercial environment
- knowledge of cloud solution concepts and technology
- team working, well organized and target focus person
- Experience working with large data sets and distributed computing tools i.e. MapReduce, Hadoop, Hive, Spark, TensorFlow etc
Auto req ID

286470BR
Required Education

Bachelor's Degree
Role ( Job Role )

Data Scientist
State / Province

KARNATAKA
Primary job category

Data Science
Company

(0063) IBM India Private Limited
Contract type

Regular
Employment Type

Full-Time
ERBP

Yes
Is this role a commissionable/sales incentive based position?

No
Travel Required

Up to 25% or 2 days a week (home on weekends- based on project requirements)
IBM Business Group

GBS
Preferred Education

Master's Degree
City / Township / Village

BANGALORE
Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  · BA/BS or MS in Data Science, Machine Learning, Statistics, or related STEM field
· Proficiency in Python, R, SQL or another programming language
· Experience or coursework in machine learning and/or natural language processing - i.e. linear regression, logistic regression, decision trees, SVM, KNN, Random Forest, Gradient Boost etc
· Statistical modeling through software (e.g. SPSS) or programming language (e.g. Python)
· Understanding of database and analytical technologies in the industry
· Demonstrated ability to think strategically about business, product and technical challenges in an enterprise environment

Sector experience:
- FMCG
- Retail
- Ecommerce

Country/Region

India
Preferred Technical and Professional Experience

·  Excellent oral and written communication skills
·  Ability to collaborate in a team environment
·  Experience with data visualization tools
·  Hands-on experience deploying analytical models to solve business problems
·  Ability to develop experimental and analytical plans for data modeling processes
Secondary Job Category

Other Data Science
Eligibility Requirements

NA

Position Type

Professional
Early Professional Track

Not Applicable - Professional Hire
Location Statement

For additional information about location requirements, please discuss with the recruiter following submission of your application.
Referral Promo Code

#HJ19IN
Introduction

As a SAS Developer (Data Scientist) at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live
Your Life @ IBM

What matters to you when you're looking for your next career challenge?

Maybe you want to get involved in work that really changes the world. What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.
About Business Unit

IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter business by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
About IBM

IBM's greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.